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<div class="title">gpu_extract_clusters.h</div>  </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div>
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<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> *  Point Cloud Library (PCL) - www.pointclouds.org</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *  Copyright (c) 2010-2011, Willow Garage, Inc.</span></div>
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<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="preprocessor">#ifndef PCL_GPU_EXTRACT_CLUSTERS_H_</span></div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="preprocessor">#define PCL_GPU_EXTRACT_CLUSTERS_H_</span></div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160; </div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="common_2include_2pcl_2point__types_8h.html">pcl/point_types.h</a>&gt;</span></div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="preprocessor">#include &lt;pcl/point_cloud.h&gt;</span></div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="preprocessor">#include &lt;pcl/PointIndices.h&gt;</span></div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="preprocessor">#include &lt;pcl/pcl_macros.h&gt;</span></div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;<span class="preprocessor">#include &lt;pcl/gpu/octree/octree.hpp&gt;</span></div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="preprocessor">#include &lt;pcl/gpu/containers/device_array.h&gt;</span></div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160; </div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="keyword">namespace </span>pcl</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;{</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;  <span class="keyword">namespace </span>gpu</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;  {</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <span class="keywordtype">void</span></div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    extractEuclideanClusters (<span class="keyword">const</span> boost::shared_ptr&lt;<a class="code" href="classpcl_1_1_point_cloud.html">pcl::PointCloud&lt;pcl::PointXYZ&gt;</a> &gt;  &amp;host_cloud_,</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;                              <span class="keyword">const</span> <a class="code" href="classpcl_1_1gpu_1_1_octree.html#aaef633c03e07b4ccf653afa6f314be75">pcl::gpu::Octree::Ptr</a>                               &amp;tree,</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;                              <span class="keywordtype">float</span>                                                     tolerance,</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;                              std::vector&lt;PointIndices&gt;                                 &amp;clusters,</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;                              <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>                                              min_pts_per_cluster, </div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;                              <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>                                max_pts_per_cluster);</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160; </div>
<div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html">   66</a></span>&#160;    <span class="keyword">class </span><a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html">EuclideanClusterExtraction</a></div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    {</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;      <span class="keyword">public</span>:</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;        <span class="keyword">typedef</span> <a class="code" href="structpcl_1_1_point_x_y_z.html">pcl::PointXYZ</a> <a class="code" href="structpcl_1_1_point_x_y_z.html">PointType</a>;</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        <span class="keyword">typedef</span> <a class="code" href="classpcl_1_1_point_cloud.html">pcl::PointCloud&lt;pcl::PointXYZ&gt;</a> <a class="code" href="classpcl_1_1_point_cloud.html">PointCloudHost</a>;</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;        <span class="keyword">typedef</span> PointCloudHost::Ptr PointCloudHostPtr;</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        <span class="keyword">typedef</span> PointCloudHost::ConstPtr PointCloudHostConstPtr;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160; </div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;        <span class="keyword">typedef</span> PointIndices::Ptr PointIndicesPtr;</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        <span class="keyword">typedef</span> PointIndices::ConstPtr PointIndicesConstPtr;</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160; </div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        <span class="keyword">typedef</span> <a class="code" href="classpcl_1_1gpu_1_1_octree.html">pcl::gpu::Octree</a> <a class="code" href="classpcl_1_1gpu_1_1_octree.html">GPUTree</a>;</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;        <span class="keyword">typedef</span> <a class="code" href="classpcl_1_1gpu_1_1_octree.html#aaef633c03e07b4ccf653afa6f314be75">pcl::gpu::Octree::Ptr</a> GPUTreePtr;</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160; </div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;        <span class="keyword">typedef</span> <a class="code" href="classpcl_1_1gpu_1_1_device_array.html">pcl::gpu::Octree::PointCloud</a> <a class="code" href="classpcl_1_1gpu_1_1_device_array.html">CloudDevice</a>;</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160; </div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160; </div>
<div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#aada2788e50b364ccbb97e6850d1af3c3">   84</a></span>&#160;        <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#aada2788e50b364ccbb97e6850d1af3c3">EuclideanClusterExtraction</a> () : <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a81a359b0267f431fe49e3a8ce69548b7">min_pts_per_cluster_</a> (1), <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#ac16cba791c7693efe0c0f62ca753d775">max_pts_per_cluster_</a> (std::numeric_limits&lt;int&gt;::max ())</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;        {};</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160; </div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;<span class="comment">/*        ~EuclideanClusterExtraction ()</span></div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;<span class="comment">        {</span></div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;<span class="comment">          tree_.clear();</span></div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;<span class="comment">        };</span></div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;<span class="comment">*/</span></div>
<div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a95c549e9549f86d19df8abfbcac0add6">   96</a></span>&#160;        <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a95c549e9549f86d19df8abfbcac0add6">setSearchMethod</a> (GPUTreePtr &amp;tree) { <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#afa283395168a4d277abf9190c9d536aa">tree_</a> = tree; }</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160; </div>
<div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a4517e73e5d5530cf69d1e1a5f8ca6918">  101</a></span>&#160;        <span class="keyword">inline</span> GPUTreePtr <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a4517e73e5d5530cf69d1e1a5f8ca6918">getSearchMethod</a> () { <span class="keywordflow">return</span> (<a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#afa283395168a4d277abf9190c9d536aa">tree_</a>); }</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160; </div>
<div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a292d2bc70907745884b5e15a7ffd61f4">  106</a></span>&#160;        <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a292d2bc70907745884b5e15a7ffd61f4">setClusterTolerance</a> (<span class="keywordtype">double</span> tolerance) { <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a6b53d0688720222882181e18967ca731">cluster_tolerance_</a> = tolerance; }</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160; </div>
<div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a4c4f9e524544756743f03d5c86ef92e1">  109</a></span>&#160;        <span class="keyword">inline</span> <span class="keywordtype">double</span> <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a4c4f9e524544756743f03d5c86ef92e1">getClusterTolerance</a> () { <span class="keywordflow">return</span> (<a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a6b53d0688720222882181e18967ca731">cluster_tolerance_</a>); }</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160; </div>
<div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a232fc7f0877a4dd40131471f1c8164b6">  114</a></span>&#160;        <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a232fc7f0877a4dd40131471f1c8164b6">setMinClusterSize</a> (<span class="keywordtype">int</span> min_cluster_size) { <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a81a359b0267f431fe49e3a8ce69548b7">min_pts_per_cluster_</a> = min_cluster_size; }</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160; </div>
<div class="line"><a name="l00117"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a749098361f3494516e1932a65a079279">  117</a></span>&#160;        <span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a749098361f3494516e1932a65a079279">getMinClusterSize</a> () { <span class="keywordflow">return</span> (<a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a81a359b0267f431fe49e3a8ce69548b7">min_pts_per_cluster_</a>); }</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160; </div>
<div class="line"><a name="l00122"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a7e03de53c8b6b1e8e43454177da35eba">  122</a></span>&#160;        <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a7e03de53c8b6b1e8e43454177da35eba">setMaxClusterSize</a> (<span class="keywordtype">int</span> max_cluster_size) { <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#ac16cba791c7693efe0c0f62ca753d775">max_pts_per_cluster_</a> = max_cluster_size; }</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160; </div>
<div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a3afe1ecff86b57489025736d69548111">  125</a></span>&#160;        <span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a3afe1ecff86b57489025736d69548111">getMaxClusterSize</a> () { <span class="keywordflow">return</span> (<a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#ac16cba791c7693efe0c0f62ca753d775">max_pts_per_cluster_</a>); }</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160; </div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;        <span class="keyword">inline</span> <span class="keywordtype">void</span> setInput (CloudDevice input) {<a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a7696e24ea2501da78eea60b1a5f53110">input_</a> = input;}</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160; </div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;        <span class="keyword">inline</span> <span class="keywordtype">void</span> setHostCloud (PointCloudHostPtr host_cloud) {<a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a21dd4fdd0c79869c78c592cc5c1fe621">host_cloud_</a> = host_cloud;}</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160; </div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;        <span class="keywordtype">void</span> <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#aa26c2aa71ba074f4083bb784e8b3c142">extract</a> (std::vector&lt;pcl::PointIndices&gt; &amp;clusters);</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160; </div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;      <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a7696e24ea2501da78eea60b1a5f53110">  138</a></span>&#160;        <a class="code" href="classpcl_1_1gpu_1_1_device_array.html">CloudDevice</a> <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a7696e24ea2501da78eea60b1a5f53110">input_</a>;</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160; </div>
<div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a21dd4fdd0c79869c78c592cc5c1fe621">  141</a></span>&#160;        PointCloudHostPtr <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a21dd4fdd0c79869c78c592cc5c1fe621">host_cloud_</a>;</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160; </div>
<div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#afa283395168a4d277abf9190c9d536aa">  144</a></span>&#160;        GPUTreePtr <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#afa283395168a4d277abf9190c9d536aa">tree_</a>;</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160; </div>
<div class="line"><a name="l00147"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a6b53d0688720222882181e18967ca731">  147</a></span>&#160;        <span class="keywordtype">double</span> <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a6b53d0688720222882181e18967ca731">cluster_tolerance_</a>;</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160; </div>
<div class="line"><a name="l00150"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a81a359b0267f431fe49e3a8ce69548b7">  150</a></span>&#160;        <span class="keywordtype">int</span> <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a81a359b0267f431fe49e3a8ce69548b7">min_pts_per_cluster_</a>;</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160; </div>
<div class="line"><a name="l00153"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#ac16cba791c7693efe0c0f62ca753d775">  153</a></span>&#160;        <span class="keywordtype">int</span> <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#ac16cba791c7693efe0c0f62ca753d775">max_pts_per_cluster_</a>;</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160; </div>
<div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#abb1604d5c5d76a8f312dbe43e948464c">  156</a></span>&#160;        <span class="keyword">virtual</span> std::string <a class="code" href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#abb1604d5c5d76a8f312dbe43e948464c">getClassName</a> ()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> (<span class="stringliteral">&quot;gpu::EuclideanClusterExtraction&quot;</span>); }</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    };</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    <span class="keyword">inline</span> <span class="keywordtype">bool</span> </div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;      comparePointClusters (<span class="keyword">const</span> <a class="code" href="structpcl_1_1_point_indices.html">pcl::PointIndices</a> &amp;a, <span class="keyword">const</span> <a class="code" href="structpcl_1_1_point_indices.html">pcl::PointIndices</a> &amp;b)</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    {</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;      <span class="keywordflow">return</span> (a.indices.size () &lt; b.indices.size ());</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    }</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;  }</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;}</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160; </div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;<span class="preprocessor">#endif </span><span class="comment">//PCL_GPU_EXTRACT_CLUSTERS_H_</span></div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160; </div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160; </div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160; </div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160; </div>
<div class="ttc" id="aclasspcl_1_1_point_cloud_html"><div class="ttname"><a href="classpcl_1_1_point_cloud.html">pcl::PointCloud&lt; pcl::PointXYZ &gt;</a></div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_device_array_html"><div class="ttname"><a href="classpcl_1_1gpu_1_1_device_array.html">pcl::gpu::DeviceArray&lt; PointType &gt;</a></div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html">pcl::gpu::EuclideanClusterExtraction</a></div><div class="ttdoc">EuclideanClusterExtraction represents a segmentation class for cluster extraction in an Euclidean sen...</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:67</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_a21dd4fdd0c79869c78c592cc5c1fe621"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a21dd4fdd0c79869c78c592cc5c1fe621">pcl::gpu::EuclideanClusterExtraction::host_cloud_</a></div><div class="ttdeci">PointCloudHostPtr host_cloud_</div><div class="ttdoc">the original cloud the Host</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:141</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_a232fc7f0877a4dd40131471f1c8164b6"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a232fc7f0877a4dd40131471f1c8164b6">pcl::gpu::EuclideanClusterExtraction::setMinClusterSize</a></div><div class="ttdeci">void setMinClusterSize(int min_cluster_size)</div><div class="ttdoc">Set the minimum number of points that a cluster needs to contain in order to be considered valid.</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:114</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_a292d2bc70907745884b5e15a7ffd61f4"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a292d2bc70907745884b5e15a7ffd61f4">pcl::gpu::EuclideanClusterExtraction::setClusterTolerance</a></div><div class="ttdeci">void setClusterTolerance(double tolerance)</div><div class="ttdoc">Set the spatial cluster tolerance as a measure in the L2 Euclidean space</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:106</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_a3afe1ecff86b57489025736d69548111"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a3afe1ecff86b57489025736d69548111">pcl::gpu::EuclideanClusterExtraction::getMaxClusterSize</a></div><div class="ttdeci">int getMaxClusterSize()</div><div class="ttdoc">Get the maximum number of points that a cluster needs to contain in order to be considered valid.</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:125</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_a4517e73e5d5530cf69d1e1a5f8ca6918"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a4517e73e5d5530cf69d1e1a5f8ca6918">pcl::gpu::EuclideanClusterExtraction::getSearchMethod</a></div><div class="ttdeci">GPUTreePtr getSearchMethod()</div><div class="ttdoc">Get a pointer to the search method used.</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:101</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_a4c4f9e524544756743f03d5c86ef92e1"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a4c4f9e524544756743f03d5c86ef92e1">pcl::gpu::EuclideanClusterExtraction::getClusterTolerance</a></div><div class="ttdeci">double getClusterTolerance()</div><div class="ttdoc">Get the spatial cluster tolerance as a measure in the L2 Euclidean space.</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:109</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_a6b53d0688720222882181e18967ca731"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a6b53d0688720222882181e18967ca731">pcl::gpu::EuclideanClusterExtraction::cluster_tolerance_</a></div><div class="ttdeci">double cluster_tolerance_</div><div class="ttdoc">The spatial cluster tolerance as a measure in the L2 Euclidean space.</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:147</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_a749098361f3494516e1932a65a079279"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a749098361f3494516e1932a65a079279">pcl::gpu::EuclideanClusterExtraction::getMinClusterSize</a></div><div class="ttdeci">int getMinClusterSize()</div><div class="ttdoc">Get the minimum number of points that a cluster needs to contain in order to be considered valid.</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:117</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_a7696e24ea2501da78eea60b1a5f53110"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a7696e24ea2501da78eea60b1a5f53110">pcl::gpu::EuclideanClusterExtraction::input_</a></div><div class="ttdeci">CloudDevice input_</div><div class="ttdoc">the input cloud on the GPU</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:138</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_a7e03de53c8b6b1e8e43454177da35eba"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a7e03de53c8b6b1e8e43454177da35eba">pcl::gpu::EuclideanClusterExtraction::setMaxClusterSize</a></div><div class="ttdeci">void setMaxClusterSize(int max_cluster_size)</div><div class="ttdoc">Set the maximum number of points that a cluster needs to contain in order to be considered valid.</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:122</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_a81a359b0267f431fe49e3a8ce69548b7"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a81a359b0267f431fe49e3a8ce69548b7">pcl::gpu::EuclideanClusterExtraction::min_pts_per_cluster_</a></div><div class="ttdeci">int min_pts_per_cluster_</div><div class="ttdoc">The minimum number of points that a cluster needs to contain in order to be considered valid (default...</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:150</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_a95c549e9549f86d19df8abfbcac0add6"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#a95c549e9549f86d19df8abfbcac0add6">pcl::gpu::EuclideanClusterExtraction::setSearchMethod</a></div><div class="ttdeci">void setSearchMethod(GPUTreePtr &amp;tree)</div><div class="ttdoc">the destructor</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:96</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_aa26c2aa71ba074f4083bb784e8b3c142"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#aa26c2aa71ba074f4083bb784e8b3c142">pcl::gpu::EuclideanClusterExtraction::extract</a></div><div class="ttdeci">void extract(std::vector&lt; pcl::PointIndices &gt; &amp;clusters)</div><div class="ttdoc">Cluster extraction in a PointCloud given by &lt;setInputCloud (), setIndices ()&gt;</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.hpp:180</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_aada2788e50b364ccbb97e6850d1af3c3"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#aada2788e50b364ccbb97e6850d1af3c3">pcl::gpu::EuclideanClusterExtraction::EuclideanClusterExtraction</a></div><div class="ttdeci">EuclideanClusterExtraction()</div><div class="ttdoc">Empty constructor.</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:84</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_abb1604d5c5d76a8f312dbe43e948464c"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#abb1604d5c5d76a8f312dbe43e948464c">pcl::gpu::EuclideanClusterExtraction::getClassName</a></div><div class="ttdeci">virtual std::string getClassName() const</div><div class="ttdoc">Class getName method.</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:156</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_ac16cba791c7693efe0c0f62ca753d775"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#ac16cba791c7693efe0c0f62ca753d775">pcl::gpu::EuclideanClusterExtraction::max_pts_per_cluster_</a></div><div class="ttdeci">int max_pts_per_cluster_</div><div class="ttdoc">The maximum number of points that a cluster needs to contain in order to be considered valid (default...</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:153</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_euclidean_cluster_extraction_html_afa283395168a4d277abf9190c9d536aa"><div class="ttname"><a href="classpcl_1_1gpu_1_1_euclidean_cluster_extraction.html#afa283395168a4d277abf9190c9d536aa">pcl::gpu::EuclideanClusterExtraction::tree_</a></div><div class="ttdeci">GPUTreePtr tree_</div><div class="ttdoc">A pointer to the spatial search object.</div><div class="ttdef"><b>Definition:</b> gpu_extract_clusters.h:144</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_octree_html"><div class="ttname"><a href="classpcl_1_1gpu_1_1_octree.html">pcl::gpu::Octree</a></div><div class="ttdoc">Octree implementation on GPU. It suppors parallel building and paralel batch search as well .</div><div class="ttdef"><b>Definition:</b> octree.hpp:57</div></div>
<div class="ttc" id="aclasspcl_1_1gpu_1_1_octree_html_aaef633c03e07b4ccf653afa6f314be75"><div class="ttname"><a href="classpcl_1_1gpu_1_1_octree.html#aaef633c03e07b4ccf653afa6f314be75">pcl::gpu::Octree::Ptr</a></div><div class="ttdeci">boost::shared_ptr&lt; Octree &gt; Ptr</div><div class="ttdoc">Types</div><div class="ttdef"><b>Definition:</b> octree.hpp:67</div></div>
<div class="ttc" id="acommon_2include_2pcl_2point__types_8h_html"><div class="ttname"><a href="common_2include_2pcl_2point__types_8h.html">point_types.h</a></div></div>
<div class="ttc" id="astructpcl_1_1_point_indices_html"><div class="ttname"><a href="structpcl_1_1_point_indices.html">pcl::PointIndices</a></div><div class="ttdef"><b>Definition:</b> PointIndices.h:13</div></div>
<div class="ttc" id="astructpcl_1_1_point_x_y_z_html"><div class="ttname"><a href="structpcl_1_1_point_x_y_z.html">pcl::PointXYZ</a></div><div class="ttdoc">A point structure representing Euclidean xyz coordinates. (SSE friendly)</div><div class="ttdef"><b>Definition:</b> point_types.hpp:282</div></div>
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